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A molecular line scan in the Hubble Deep Field North

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 Added by Roberto Decarli
 Publication date 2013
  fields Physics
and research's language is English




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We present a molecular line scan in the Hubble Deep Field North (HDF-N) that covers the entire 3mm window (79-115 GHz) using the IRAM Plateau de Bure Interferometer. Our CO redshift coverage spans z<0.45, 1<z<1.9 and all z>2. We reach a CO detection limit that is deep enough to detect essentially all z>1 CO lines reported in the literature so far. We have developed and applied different line searching algorithms, resulting in the discovery of 17 line candidates. We estimate that the rate of false positive line detections is ~2/17. We identify optical/NIR counterparts from the deep ancillary database of the HDF-N for seven of these candidates and investigate their available SEDs. Two secure CO detections in our scan are identified with star-forming galaxies at z=1.784 and at z=2.047. These galaxies have colors consistent with the `BzK color selection and they show relatively bright CO emission compared with galaxies of similar dust continuum luminosity. We also detect two spectral lines in the submillimeter galaxy HDF850.1 at z=5.183. We consider an additional 9 line candidates as high quality. Our observations also provide a deep 3mm continuum map (1-sigma noise level = 8.6 $mu$Jy/beam). Via a stacking approach, we find that optical/MIR bright galaxies contribute only to <50% of the SFR density at 1<z<3, unless high dust temperatures are invoked. The present study represents a first, fundamental step towards an unbiased census of molecular gas in `normal galaxies at high-z, a crucial goal of extragalactic astronomy in the ALMA era.

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We present direct constraints on the CO luminosity function at high redshift and the resulting cosmic evolution of the molecular gas density, $rho_{rm H2}$(z), based on a blind molecular line scan in the Hubble Deep Field North (HDF-N) using the IRAM Plateau de Bure Interferometer. Our line scan of the entire 3mm window (79-115 GHz) covers a cosmic volume of ~7000 Mpc$^3$, and redshift ranges z<0.45, 1.01<z<1.89 and z>2. We use the rich multiwavelength and spectroscopic database of the HDF-N to derive some of the best constraints on CO luminosities in high redshift galaxies to date. We combine the blind CO detections in our molecular line scan (presented in a companion paper) with stacked CO limits from galaxies with available spectroscopic redshifts (slit or mask spectroscopy from Keck and grism spectroscopy from HST) to give first blind constraints on high-z CO luminosity functions and the cosmic evolution of the H2 mass density $rho_{rm H2}$(z) out to redshifts z~3. A comparison to empirical predictions of $rho_{rm H2}$(z) shows that the securely detected sources in our molecular line scan already provide significant contributions to the predicted $rho_{rm H2}$(z) in the redshift bins <z>~1.5 and <z>~2.7. Accounting for galaxies with CO luminosities that are not probed by our observations results in cosmic molecular gas densities $rho_{rm H2}$(z) that are higher than current predictions. We note however that the current uncertainties (in particular the luminosity limits, number of detections, as well as cosmic volume probed) are significant, a situation that is about to change with the emerging ALMA observatory.
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90 - G. Yang , Y. Q. Xue , B. Luo 2014
We derive photometric redshifts (zp) for sources in the entire ($sim0.4$ deg$^2$) Hawaii-Hubble Deep Field-North (hdfn) field with the EAzY code, based on point spread function-matched photometry of 15 broad bands from the ultraviolet (bandu~band) to mid-infrared (IRAC 4.5 $mu$m). Our catalog consists of a total of 131,678 sources. We evaluate the zp~quality by comparing zp~with spectroscopic redshifts (zs) when available, and find a value of normalized median absolute deviation sigm$=$0.029 and an outlier fraction of 5.5% (outliers are defined as sources having $rm |zp - zs|/(1+zs) > 0.15$) for non-X-ray sources. More specifically, we obtain sigm$=0.024$ with 2.7% outliers for sources brighter than $R=23$~mag, sigm$=0.035$ with 7.4% outliers for sources fainter than $R=23$~mag, sigm$=$0.026 with 3.9% outliers for sources having $z<1$, and sigm$=$0.034 with 9.0% outliers for sources having $z>1$. Our zp quality shows an overall improvement over an earlier zp work that focused only on the central hdfn area. We also classify each object as star or galaxy through template spectral energy distribution fitting and complementary morphological parametrization, resulting in 4959 stars and 126,719 galaxies. Furthermore, we match our catalog with the 2~Ms {it Chandra} Deep Field-North main xray~catalog. For the 462 matched non-stellar xray~sources (281 having zs), we improve their zp~quality by adding three additional AGN templates, achieving sigm$=0.035$ and an outlier fraction of 12.5%. We make our catalog publicly available presenting both photometry and zp, and provide guidance on how to make use of our catalog.
The catalog from the first high resolution U-band image of the Hubble Ultra Deep Field, taken with Hubbles Wide Field Planetary Camera 2 through the F300W filter, is presented. We detect 96 U-band objects and compare and combine this catalog with a Great Observatories Origins Deep Survey (GOODS) B-selected catalog that provides B, V, i, and z photometry, spectral types, and photometric redshifts. We have also obtained Far-Ultraviolet (FUV, 1614 AA) data with Hubbles Advanced Camera for Surveys Solar Blind Channel (ACS/SBC) and with Galaxy Evolution Explorer (GALEX). We detected 31 sources with ACS/SBC, 28 with GALEX/FUV, and 45 with GALEX/NUV. The methods of observations, image processing, object identification, catalog preparation, and catalog matching are presented.
279 - F.Y.Gao , J.Y.Li , Y.Q.Xue 2018
We compile multi-wavelength data from ultraviolet to infrared (IR) bands as well as redshift and source-type information for a large sample of 178,341 sources in the Hawaii-Hubble Deep Field-North field. A total of 145,635 sources among the full sample are classified/treated as galaxies and have redshift information available. We derive physical properties for these sources utilizing the spectral energy distribution fitting code CIGALE that is based on Bayesian analysis. Through various consistency and robustness check, we find that our stellar-mass and star-formation rate (SFR) estimates are reliable, which is mainly due to two facts. First, we adopt the most updated and accurate redshifts and point spread function-matched photometry; and second, we make sensible parameter choices with the CIGALE code and take into account influences of mid-IR/far-IR data, star-formation history models, and AGN contribution. We release our catalog of galaxy properties publicly (including, e.g., redshift, stellar mass, SFR, age, metallicity, dust attenuation), which is the largest of its kind in this field and should facilitate future relevant studies on formation and evolution of galaxies.
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